Abstract
The multiprocessor implementation of a new thinning algorithm based on image compression is presented. In this algorithm, a binary image is compressed and the thresholded prior to applying the thinning process thereby reducing the width of edges. This results in fewer iterations of the thinning process being required to achieve a skeleton image. Rigorous connectivity checks using a set of 38 different masks are efficiently implemented to preserve the connectivity of pixels and shape of image features.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IEE Proceedings I Communications, Speech and Vision
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.